metadata
license: apache-2.0
base_model: t5-small
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: modelo_resumen2
results: []
modelo_resumen2
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8114
- Bleu: 1.0841
- Gen Len: 18.957
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 125 | 2.8249 | 1.1016 | 18.957 |
| No log | 2.0 | 250 | 2.8114 | 1.0841 | 18.957 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1